About Agent Toolbox
Agent Toolbox is a local MCP server offering code, output, security, privacy, and finance checks for AI agents. It runs over stdio without an API key or environment variables.
Key features
- 01Validate imports and verify outputs
- 02Distill context and count tokens
- 03Scan for secrets, injection, vulnerabilities, and PII
- 04Check finance units, prices, and symbols
- 05Assess token, slippage, order, and position risk
Use cases
- 01Validate code imports before an action
- 02Check generated output quality
- 03Scan content for sensitive data or injection
- 04Review financial parameters and trade risks
MCP support
Exposes 15 tools to MCP-compatible clients over stdio, including code and output checks, security and privacy scans, and finance checks. It runs locally and requires no API key or environment variables.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
26Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| code | string | Yes | The AI-generated code to validate. |
| language | enum | Yes | The programming language of the code snippet.python | javascript | typescript | rust | go |
| timeoutMs | number | No | Registry request timeout in ms (default: 5000). |
Details
From the project READMEagentoolbox-mcp
MCP server for agent-toolbox.ai — the quality layer for AI agents. Exposes code- and output-quality tools to Claude, Cursor, Warp, Cline, and any MCP-compatible client over stdio.
Tools (15)
Core: validate_imports, verify_output, distill_context
Security & privacy: scan_secrets, scan_injection, count_tokens, scan_vulnerabilities, scan_pii
Finance: finance_units, finance_price, finance_symbol, finance_token_risk, finance_slippage, finance_order_risk, finance_position_check
Runs locally over stdio, in-process — no API key or env vars (free public data sources only).
Install
No clone or build needed:
{
"mcpServers": {
"agent-toolbox": { "command": "npx", "args": ["-y", "agentoolbox-mcp"] }
}
}
Or build from source:
git clone https://github.com/solhammer/agentoolbox
cd agentoolbox
pnpm install
pnpm --filter "agentoolbox-mcp..." build # builds the server + its workspace deps
This produces packages/mcp/dist/index.js (use "command": "node" with its absolute path).
Configure your MCP client
- Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json - Cursor:
~/.cursor/mcp.json - Warp: Settings → Agents → MCP servers → Add
{
"mcpServers": {
"agent-toolbox": {
"command": "node",
"args": ["/absolute/path/to/agentoolbox/packages/mcp/dist/index.js"]
}
}
}
Replace /absolute/path/to/agentoolbox with the path where you cloned the repo.
More
The full REST API lives at api.agent-toolbox.ai; all 15 tools are exposed over MCP. License: MIT.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.